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# AI Integration Developer

- **Company:** ACCOUNT RESOLUT ION GROUP
- **Location:** Salt Lake City, UT, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Integration Architecture, Autodesk Revit, Backup Devices, Business Systems, C Sharp (Programming Language), Databases, Extract Transform Load (ETL), Database Schema, Github, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Software Engineering, SQL Databases, Large Language Models, Generative AI, Indexer, Information Technology, Model Context Protocol, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.careerjet.com/jobad/us9ffa72d4027e48729d6ccf4e50eee321

## About the Role

* Databases: strong experience designing and managing SQL databases (e.g., SQL Server, PostgreSQL).
 * ETL: experience building and maintaining data pipelines between business systems.
 * AI integration: working knowledge of LLM APIs and the Model Context Protocol (MCP).
 * C#: professional experience writing and maintaining C# applications; Python is a plus.
 * Project management: able to plan, prioritize, and deliver multiple projects at once.
 * Communication: confident leading training and collaborating with engineers and business staff.
 * GitHub: working knowledge of basic workflows such as branching, commits, and pull requests.
 * Bachelor's (or greater) degree in Computer Science / Software Development (or similar field) from an EAC/ABET-accredited university required or equivalent experience, required., Big Plus: Experience in the MEP industry or with Autodesk Revit data, or with vector databases, embeddings, or retrieval-augmented generation (RAG), is a huge plus.

## Description

Resolut is hiring an AI Integration Developer to join a small but growing team whose custom tools are critical to daily operations. This role focuses on securely connecting AI to company data and workflows., * Design, build, and maintain ETL pipelines that turn internal data into clean, AI-ready sources.

 * Design, manage, and optimize database schemas, indexing, access controls, and backups.
 * Build and maintain MCP servers that securely connect AI tools to company data and apps.
 * Coordinate with stakeholders to identify AI use cases, scope requirements, and set priorities.
 * Establish guardrails for data quality, security, permissions, and responsible AI use.
 * Lead training sessions that help engineers and staff use AI tools effectively.